Big and open linked data analytics ecosystem
Theoretical background and essential elements
Bibliographic Data
| ID | 12079366 |
|---|---|
| Authors | Martin Lněnička (0000-0002-3720-8935, University of Pardubice, corresponding author), Jitka Komarkova (0000-0002-0209-3373, University of Pardubice) |
| Year | 2018 |
| Volume | 36 |
| Issue | 1 |
| Pages | 129-144 |
| Publication date | 2018-11-22 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Government Information Quarterly (JOURNAL) |
| Journal identifiers | ISSN: 0740-624X • E-ISSN: 1872-9517 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.giq.2018.11.004 |
| OpenAlex | W2900734544 |
| Language | EN |
| Citations received | 10 |
| References cited | 47 |
Analytics · Big data · Computer security · Data mining · Data science · Dimension (graph theory · Key (lock · Knowledge management · Open data · Transparency (behavior · World Wide Web · Big Data and Business Intelligence · Computer Science · Data Quality and Management · Privacy-Preserving Technologies in Data
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| Unique citing works | 10 |
|---|---|
| Citations per year | 2 |
| Citation span | 2021 - 2025 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 9 |